Research Experience

Microsoft Research Asia, Beijing

07/2024 - Present

Research focus: Distributed ML Systems; Mentor: Jilong Xue

Microsoft Research, Redmond

12/2023 - Present

Research focus: GPU collective communication; Mentors: Behnaz Arzani and Siva Kesava Reddy Kakarla

• Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. Xuting Liu, Behnaz Arzani, Siva Kesava Reddy Kakarla, Liangyu Zhao, Vincent Liu, Miguel Castro, Srikanth Kandula, Luke Marshall. SIGCOMM 24’.

Sky Computing Lab, UC Berkeley

08/2022 - 06/2023

Research focus: Distributed systems and network; Mentor: Dr. Joseph E. Gonzalez

• Implemented and optimized the data verification process of Skyplane, the SOTA inter-and intra-cloud bulk data transfer software.

• Implemented and optimized the multi-instance, multi-thread HTTP download function on Skyplane. Achieved a 30X speedup compared to existing recipes. This result was presented in a talk hosted by NASA.

• Managed Globus Endpoints to conduct large data transfer experiments to benchmark Skyplane against Globus.

ReDAS Lab, University of Houston

06/2021 - Present

Research focus: Deception Detection, NLP; Mentor: Dr. Rakesh Verma

• Implemented and experimented with various feature engineering algorithms, ML and DL models in NLP.

• Compiled a cross-domain deception dataset with fake reviews, fake opinions, phishing emails, and fake news.

• Trained BERT models on the cross-domain dataset to show the possibility of domain-independent deception detection with results published in CODASPY 2022.

Oak Ridge National Lab

06/2022 - 08/2022

Research focus: Productivity and Sustainability in Software Engineering; Mentor: Dr. Gregory R. Watson

• Developed a website, rateyourproject.org, to help users improve software engineering practices while collecting research data.

• Concluded my findings in internally-reviewed poster and report.